Java Deep Learning Cookbook Front Cover

Use Java and Deeplearning4j to build robust, enterprise-grade deep learning models from scratch

Key Features
Install and configure Deeplearning4j to implement deep learning models
Explore recipes for training and fine-tuning your neural network models using Java
Put your deep learning knowledge to use and train enterprise-grade neural networks with ease
Book Description
Java is one of the most widely used programming languages in the world. With this book, you'll see how its popular libraries for deep learning, such as Deeplearning4j (DL4J), make deep learning easy.

Starting by configuring DL4J to run on your GPU-powered machine, this deep learning cookbook will get you up to speed with troubleshooting installation issues. You'll then gain insights into deep learning basics and use your knowledge to create a deep neural network for binary classification from scratch. As you progress, you'll pick up on the technique of building a convolutional neural network (CNN) in DL4J, along with understanding how to construct numeric vectors from text. The book will also guide you through performing anomaly detection on unsupervised data and help you set up neural networks in distributed systems effectively. In addition to this, you'll learn to import models from Keras and change the configuration in a pre-trained DL4J model. Finally, you'll explore benchmarking in DL4J and optimize neural networks for optimal results.

By the end of this book, you'll have a clear understanding of how you can use Deeplearning4j to build robust deep learning applications in Java.

What you will learn
Perform data normalization and wrangling in Deeplearning4j
Train, create, and evaluate deep learning models using DL4J
Implement convolutional neural networks to solve image classification problems
Train autoencoders in Java
Explore different ways to perform benchmarking and optimization
Implement reinforcement learning for real-world use cases using RL4J
Leverage the capabilities of DL4J in distributed systems
Who This Book Is For
If you are a data scientist, machine learning developer, or a deep learning enthusiast who wants to implement deep learning models in Java, this book is for you. Basic understanding of Java programming as well as some experience with machine learning and neural networks is required to get the most out of this book.

Book Download

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